Cookielib is a module that automatically handles cookies. If we need to save cookies when using technologies such as crawlers, cookielib will allow you to get twice the result with half the effort! His most common partner modules are urllib and request under python.
Core Class
1. Cookie
This class implements the cookie standard defined by Netscape and RFC 2965 cookies, and can basically be understood as a certain piece of cookie data.
Part of the code is as follows. Do many attributes look familiar?
self.domain_initial_dot = domain_initial_dot self.path = path self.path_specified = path_specified self.secure = secure self.expires = expires self.discard = discard self.comment = comment self.comment_url = comment_url self.rfc2109 = rfc2109
2.CookiePolicy
The main function of this class is to send and receive cookies, that is, to ensure that the correct cookie is sent to the corresponding domain name, and vice versa.
3.DefaultCookiePolicy
This class implements the CookiePolicy interface.
4.CookieJar
CookieJar is a collection of cookies, which can contain many Cookie classes and is our main operation object. There are a series of methods to support more detailed operations!
5.FileCookieJar
This class inherits from CookieJar. CookieJar only completes its life cycle in memory. The subclass of FileCookieJar can achieve data persistence and defines three interfaces: save, load, and revert.
6. MozillaCookieJar & LWPCookieJar
Two implementation classes, the inheritance relationship is as follows:

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

Forloopsareadvantageousforknowniterationsandsequences,offeringsimplicityandreadability;whileloopsareidealfordynamicconditionsandunknowniterations,providingcontrolovertermination.1)Forloopsareperfectforiteratingoverlists,tuples,orstrings,directlyacces

Pythonusesahybridmodelofcompilationandinterpretation:1)ThePythoninterpretercompilessourcecodeintoplatform-independentbytecode.2)ThePythonVirtualMachine(PVM)thenexecutesthisbytecode,balancingeaseofusewithperformance.

Pythonisbothinterpretedandcompiled.1)It'scompiledtobytecodeforportabilityacrossplatforms.2)Thebytecodeistheninterpreted,allowingfordynamictypingandrapiddevelopment,thoughitmaybeslowerthanfullycompiledlanguages.

Forloopsareidealwhenyouknowthenumberofiterationsinadvance,whilewhileloopsarebetterforsituationswhereyouneedtoloopuntilaconditionismet.Forloopsaremoreefficientandreadable,suitableforiteratingoversequences,whereaswhileloopsoffermorecontrolandareusefulf

Forloopsareusedwhenthenumberofiterationsisknowninadvance,whilewhileloopsareusedwhentheiterationsdependonacondition.1)Forloopsareidealforiteratingoversequenceslikelistsorarrays.2)Whileloopsaresuitableforscenarioswheretheloopcontinuesuntilaspecificcond


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